ExplainersCommercial cleaning robots

What are commercial cleaning robots and how do they work?

Commercial cleaning robots are autonomous floor scrubbers, vacuums, and mopping machines deployed in airports, shopping malls, warehouses, hospitals, and office buildings. The category divides along a platform axis: BrainOS-powered robots (Tennant AMR, SoftBank Robotics Whiz) license autonomy software from Brain Corp, while own-stack makers (Avidbots, Gausium, Karcher, LionsBot) develop their navigation internally.

What commercial cleaning robots are

Commercial cleaning robots operate in airports, shopping centers, warehouses, hospitals, and office buildings. They perform floor scrubbing, vacuuming, and mopping on scheduled routes or autonomously mapped routes without requiring a human operator to steer the machine during operation. The commercial operating envelope is structurally different from consumer robot vacuums: machines are larger, operating spaces are larger, deployment is through commercial contracts rather than consumer purchase, and the autonomy requirement is route-fidelity in known structured environments.

The BrainOS platform model

Brain Corp (San Diego, founded 2009) operates BrainOS, a proprietary autonomy software platform licensed to hardware OEMs. The OEM manufactures the cleaning machine; Brain Corp provides the navigation, obstacle detection, and fleet management software layer. SoftBank Group holds a significant equity position in Brain Corp. The platform model is structurally distinct from vertically integrated makers: the manufacturer does not own the autonomy stack.

Two autonomy modes operate within the BrainOS ecosystem. Teach-and-repeat, used in the SoftBank Robotics Whiz corridor vacuum, requires a human operator to walk the cleaning route on first use; the robot records the path and then repeats it autonomously on subsequent runs. Full-SLAM navigation, used in the Tennant T16AMR floor scrubber, allows the robot to build a persistent map of the facility and navigate against it without prior path demonstration. The verified-vs-claimed framework distinguishes these two modes: teach-and-repeat is a constrained-autonomy workflow, not free-roaming SLAM navigation.

Own-stack makers

Vertically integrated own-stack makers develop navigation software in-house rather than licensing from a platform provider. Avidbots (Kitchener, Ontario) builds the Neo robot with internally developed SLAM-based autonomy. Gausium (Shanghai) manufactures the Phantas floor scrubber with its own autonomy stack, deployed in airports including Singapore Changi Airport and multiple Chinese airports. Karcher (Germany, family-owned) builds the KIRA series floor scrubbers using LiDAR SLAM navigation. LionsBot (Singapore) operates its own robotics platform across its product line.

The own-stack vs platform distinction is not a quality ranking: both approaches produce commercially deployed robots with verified operating records. The distinction matters for understanding who controls the autonomy roadmap, how software updates are managed, and what the manufacturer risk profile is if the platform provider changes terms.

Adjacent entrants

Pudu Robotics (Shenzhen) enters the commercial cleaning segment from its primary business of delivery robots (BellaBot, KettyBot for food service). The CC1 commercial cleaning robot applies the same SLAM navigation infrastructure Pudu developed for structured indoor delivery environments to cleaning task execution. Delivery-to-cleaning is the most common adjacency expansion pattern in the commercial service robot segment.

Framework cross-links

For the Brain Corp brain-provider model in context, see captive vs third-party brain providers. For the verification framework applied to autonomy claims in commercial robots, see how DEPLOY verifies. For the operator-vs-manufacturer distinction in commercial deployment contracts, see operator vs manufacturer. Registry coverage at registry.deploy.report.

Frequently asked questions

What is a commercial cleaning robot?

A commercial cleaning robot is an autonomous floor scrubber, vacuum, or mopping machine deployed in commercial or institutional settings without a human operator steering it during operation. Unlike consumer robot vacuums designed for private homes, commercial cleaning robots are larger machines operating in airports, shopping malls, warehouses, hospitals, and office buildings under commercial contracts.

What is BrainOS and who uses it?

BrainOS is an autonomy software platform developed by Brain Corp (San Diego, founded 2009) and licensed to cleaning machine manufacturers. The OEM makes the hardware; Brain Corp provides the navigation, obstacle detection, and fleet management software. Tennant Company and SoftBank Robotics are the two largest BrainOS OEM partners at commercial deployment scale. SoftBank Group holds an equity position in Brain Corp.

What is the difference between teach-and-repeat and SLAM navigation in cleaning robots?

Teach-and-repeat requires a human operator to walk the cleaning route once while the robot records the path; the robot then repeats that demonstrated route autonomously. Full-SLAM navigation allows the robot to build a persistent map of the facility on its own and navigate against it. SoftBank Robotics Whiz uses teach-and-repeat. Tennant T16AMR with BrainOS uses full-SLAM. The distinction is a verified autonomy-depth difference, not a marketing framing.

Which commercial cleaning robots are made in the US?

Brain Corp (BrainOS platform) is US-based (San Diego). Tennant Company (T16AMR, A5) is US-based (Golden Valley, Minnesota, NYSE: TNC) and uses BrainOS. Avidbots is Canadian (Kitchener, Ontario) with its own autonomy stack. Karcher is German. Gausium and Pudu are Chinese. LionsBot is Singaporean.

How do commercial cleaning robots navigate around people?

Commercial cleaning robots use LiDAR and camera sensors to detect moving obstacles (people, carts, equipment) and stop or route around them. Obstacle detection is a standard safety feature across all commercial-tier robots in the segment. The specific sensor type, detection range, and stopping distance vary by model and are documented in product specifications. The framework reads obstacle detection claims at independently tested vs manufacturer-stated vs claimed tier.

Can commercial cleaning robots replace human cleaners?

Commercial cleaning robots automate repetitive large-area floor maintenance tasks (scrubbing, vacuuming corridors) but do not replace the full scope of human cleaning work. Restrooms, trash collection, surface wiping, and edge cleaning require human staff. Operators typically position cleaning robots as labor-augmentation tools that extend cleaning coverage or shift human labor to higher-value tasks, not as full workforce replacement. DEPLOY reads labor-replacement claims at verified operating record depth.

Commercial cleaning cohort scoped to autonomous floor maintenance robots in commercial/institutional settings. Brain Corp founding (2009, San Diego) and SoftBank equity position verified at company disclosure depth. Teach-and-repeat vs full-SLAM distinction verified at product-specification depth for Whiz vs Tennant T16AMR respectively. OEM licensing model verified at Brain Corp partner program documentation depth. Avidbots, Gausium, LionsBot own-stack verified at company and product documentation depth. How DEPLOY verifies →

More in commercial cleaning robots

View all 8 explainers in commercial cleaning robots

← All explainers